我有一个预训练模型，我想更改它的训练集，我的新训练集叫Haze，里面有两个文件夹，GT里是去雾图，hazy里是有雾图。我需要在matlab里进行操作。我需要哪些操作，写哪些代码

为了更改预训练模型的训练集，你需要重复以下步骤：

1.加载预训练模型
2.加载新的训练集
3.设置训练参数
4.训练模型

具体的代码如下：

%% Step 1: Load pre-trained model
load('pretrained_model.mat');

%% Step 2: Load new training dataset
% Load images from GT folder
gt_dir = fullfile('Haze', 'GT');
gt_imds = imageDatastore(gt_dir);

% Load images from Hazy folder
hazy_dir = fullfile('Haze', 'hazy');
hazy_imds = imageDatastore(hazy_dir);

% Combine datastores
imds = combine(gt_imds, hazy_imds);

%% Step 3: Set training parameters
% Set number of epochs
num_epochs = 10;

% Set mini-batch size
mini_batch_size = 16;

% Set learning rate
learning_rate = 0.001;

% Set momentum
momentum = 0.9;

% Set weight decay
weight_decay = 0.0005;

% Set loss function
loss_function = 'mse';

% Set optimizer
optimizer = 'sgdm';

% Set training options
training_options = trainingOptions(optimizer, ...
'MaxEpochs', num_epochs, ...
'MiniBatchSize', mini_batch_size, ...
'InitialLearnRate', learning_rate, ...
'Momentum', momentum, ...
'WeightDecay', weight_decay, ...
'LossFunction', loss_function, ...
'Plots', 'training-progress');

%% Step 4: Train model
% Train model using new dataset and training options
trained_model = trainNetwork(imds, pretrained_model.Layers, training_options);

% Save trained model
save('trained_model.mat', 'trained_model');

请注意，这只是一个示例代码，你需要根据你的具体情况进行调整，例如你的预训练模型的架构、输入和输出大小等可能会不同。